7 citations · 7 across the 5 of their papers we have counts for
5 papers
LLM-Assisted Op-Amp Behavioral-Level Design via Agentic Human-Mimicking Reasoning
Zihao Chen, Ziyi Sun, Jiayin Wang +6
This paper proposes White-Op, an operational amplifier (op-amp) behavioral-level parameter design framework assisted by the human-mimicking reasoning of large language model agents…
Dataset Construction for Training LLM to Learn Analog Circuit Knowledge
Zihao Chen, Ji Zhuang, Jinyi Shen +11
This paper constructs a textual dataset for training large language models (LLMs) to learn analog circuit knowledge and customizes LLM training techniques. For dataset construction…
The Power of Graph Signal Processing for Chip Placement Acceleration
Yiting Liu, Hai Zhou, Jia Wang +3
Placement is a critical task with high computation complexity in VLSI physical design. Modern analytical placers formulate the placement objective as a nonlinear optimization task,…
Physically Aware Synthesis Revisited: Guiding Technology Mapping with Primitive Logic Gate Placement
Hongyang Pan, Cunqing Lan, Yiting Liu +5
A typical VLSI design flow is divided into separated front-end logic synthesis and back-end physical design (PD) stages, which often require costly iterations between these stages…
Medical records condensation: a roadmap towards healthcare data democratisation
Yujiang Wang, Anshul Thakur, Mingzhi Dong +5
The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life. However, the advanc…